Welcome to Adwait's Homepage

Adwait Jog, Ph.D. (Penn State)    Assistant Professor    Department of Computer Science    William & Mary    McGlothlin-Street Hall 111    Williamsburg, VA 23187     ajog@wm.edu, Google Scholar Profile

About

I am an assistant professor in the Department of Computer Science at William & Mary in Virginia, USA. At William & Mary, I am leading the Insight Computer Architecture Lab. Our goal is to generate insights necessary in order to architect future computers that are more energy-efficient, capable, reliable, and secure.

William & Mary ranks among top 30 US universities in the area of computer architecture. This ranking is based on publications at top venues (HPCA, MICRO, ASPLOS, ISCA) in the area of computer architecture.

I am always looking for self-motivated students to join my lab. Interested students can email me to begin the conversation. If you are not at William & Mary, please formally apply to the Ph.D. program at CS department.

A high-level summary of my group's research can be found here and here.

Recent and Selected Publications (complete list)

• (ASPLOS 2020) Why GPUs are Slow at Executing NFAs and How to Make them Faster

• (HPCA 2020) BCoal: Bucketing-based Memory Coalescing for Efficient and Secure GPUs

• (PACT 2019) Analyzing and Leveraging Remote-core Bandwidth for Enhanced Performance in GPUs

• (DSN 2019) Exploiting Latency and Error Tolerance of GPGPU Applications for an Energy-efficient DRAM

• (ICS 2019) Address-Stride Assisted Approximate Value Prediction in GPUs

• (ISCA 2019) Opportunistic Computing in GPU Architectures

• (SIGMETRICS 2019) Quantifying Data Locality in Dynamic Parallelism in GPUs

• (MICRO 2018) Architectural Support for Efficient Large-Scale Automata Processing

• (MICRO 2018) Fault Site Pruning for Practical Reliability Analysis of GPGPU Applications

• (HPCA 2018) Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management

• (HPCA 2018) RCoal: Mitigating GPU Timing Attack via Subwarp-based Randomized Coalescing Techniques

• (ASPLOS 2018) MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency

Research Funding

My research group is supported by the following research grants:

• NSF CAREER Award 2018. News in the Media. Thanks NSF!

• NSF SHF Award 2017. Thanks NSF!

• NSF CRII Award 2017. Thanks NSF!

• NVIDIA Equipment Donation. Thanks NVIDIA!

Currently Teaching (complete list)

• CSCI 674, GPU Architectures (graduate course)

Recent Committees (complete list)

• Organization Committees: PACT 2020 (ACM SRC chair), GPGPU 2020 (Workshop co-chair), MICRO 2019 (Publicity co-chair), CGO 2019 (Publicity chair), GPGPU 2019 (Workshop co-chair)

• Program Committees: HPCA 2020, ISCA 2020 (ERC), ASPLOS 2020 (ERC), MICRO 2019, SIGMETRICS 2019, ICCD 2019, HPDC 2019, HPCA 2019 (ERC), NAS 2019.

• W&M Committees (2019-20): Faculty Hiring, Graduate Admissions, Graduate Curriculum, CS Colloquiums, T. Jefferson Prize in Natural Philosophy, Pre-major advising